Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.distilroberta_base_finetuned_jira_qt_issue_titles_and_bodies_pipeline is a English model originally trained by ietz.
How to use
pipeline = PretrainedPipeline("distilroberta_base_finetuned_jira_qt_issue_titles_and_bodies_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("distilroberta_base_finetuned_jira_qt_issue_titles_and_bodies_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | distilroberta_base_finetuned_jira_qt_issue_titles_and_bodies_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 306.5 MB |
References
https://huggingface.co/ietz/distilroberta-base-finetuned-jira-qt-issue-titles-and-bodies
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings